<i>Panx1</i> channels promote both anti- and pro-seizure-like activities in the zebrafish via <i>p2rx7</i> receptors and ATP signaling
Bibliographic record
Abstract
Abstract The molecular mechanisms of excitation-inhibition imbalances promoting seizure generation in epilepsy patients are not fully understood. Experimental evidence suggests that Pannexin1 ( Panx1 ), an ATP release channel, modulates excitability of the brain. In this report, we have performed behavioral and molecular phenotyping experiments on zebrafish larvae bearing genetic or pharmacological knockouts of panx1a or panx1b channels, each highly homologous to human PANX1. When Panx1a function is lost or both channels are under pharmacological blockage, treatment with pentylenetetrazol to induce seizures causes reduced ictal-like events and seizure-like locomotion. These observations were extended by transcriptome profiling, where a spectrum of distinct metabolic and cell signaling states correlates with the loss of panx1a . The pro- and anticonvulsant activities of both Panx1 channels affects ATP release and involves the purinergic receptor p2rx7 . We propose that Panx1 zebrafish models offer opportunities to explore the molecular and physiological basis of seizures and assist anticonvulsant drug discovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".